جست‌وجوی استاد و پژوهشگر

• Economic Theory
• Rational Expectations
• Overlapping Generations Models
• +۴ مورد دیگر

Stephen E. Spear is a Professor of Economics at the Tepper School of Business, Carnegie Mellon University, since 1982. He holds a Ph.D. in Economics from the University of Pennsylvania and a BA in English Literature from Beloit College. His research focuses on economic theory, including rational expectations, overlapping generations models, and dynamic economic systems. He has contributed to top journals such as Econometrica and Journal of Political Economy . Affiliations: Tepper School of Business (Carnegie Mellon University), Fellow of the Society for Economic Measurement, and Associate Editor of Macroeconomic Dynamics . Education: Ph.D. in Economics, University of Pennsylvania, 1982 B.A. in English Literature, Beloit College, 1974 His research interests span macroeconomic theory, optimal growth models, and market dynamics. Notable work includes studies on price stickiness, managerial compensation, and sunspot equilibria. He has received prestigious fellowships and authored influential books like Overlapping Generations Methods, Models and Morphology . Teaching: Spear teaches courses such as Microeconomics I, Political Economy, and Dynamic Competitive Analysis. His courses emphasize theoretical frameworks and applied economic models. Awards: Fellow, Society for the Advancement of Economic Theory (2017) Fellow, Society for Economic Measurement (2012) Labs/Teams: Spear collaborates on interdisciplinary research in macroeconomic dynamics and computational economics. His work bridges theoretical models with empirical applications.

• Stochastic Analysis
• Mathematical Finance
• Option Pricing
• +۵ مورد دیگر

Blanka Horvath is a Lecturer at King's College London and Honorary Lecturer at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). Her research focuses on stochastic analysis and mathematical finance, particularly in numerical methods, machine learning applications, and volatility modeling (e.g., SABR and rough volatility models). She holds a PhD from ETH Zurich (2015), a Diplom in Mathematics from the University of Bonn, and an MSc in Economics from the University of Hong Kong. She has organized major conferences such as the SIAM MMF 2017 mini-symposium and co-organized the Rough Volatility Meeting at Imperial College. Her honors include the 2019 Risk Rising Star Award and the 2024-25 LMS Emmy Noether Fellowship. She collaborates with institutions like UBS, The Alan Turing Institute, and Quantennium LTD. Her teaching includes courses on numerical methods in finance and Python/R programming. She supervises PhD and MSc students in areas like rough volatility, machine learning, and quantitative finance. Recent work explores quantum GANs for option pricing and regime detection using Wasserstein distances.

• Mathematical Biology
• Biophysics
• Stochastic Processes
• +۳ مورد دیگر

Professor Kenneth A Lindsay is an Honorary Senior Research Fellow at the University of Glasgow's School of Mathematics & Statistics. His work bridges mathematical biology, biophysics, and financial econometrics, with a focus on stochastic processes and computational modeling. Key contributions include advancements in compartmental modeling of neurons, Fokker-Planck equation solutions for stochastic differential equations, and applications in energy market forecasting. He has authored/co-authored over 25 peer-reviewed articles and edited the influential 2005 book Modeling in the Neurosciences . Collaborations with researchers like David Brillinger, Adrian Hurn, and Jonathan Rosenberg highlight interdisciplinary expertise. His research addresses topics ranging from dendritic branching patterns to econometric optimization techniques. Publications span journals such as Biological Cybernetics , Journal of Financial Econometrics , and European Journal of Heart Failure . Notable work includes modeling electricity price spikes and analyzing magnetic field effects on nerve excitability. Lindsay's edited volumes and book chapters further underscore his role in advancing neuroscience and quantitative finance methodologies. His academic contributions reflect a commitment to mathematical rigor applied to real-world systems, with applications in biomedical engineering, energy economics, and computational neuroscience.

• Time Series Econometrics
• Financial Econometrics
• Volatility Modeling
• +۳ مورد دیگر

Paolo Santucci de Magistris is a Professor of Econometrics at the Department of Economics and Finance of Luiss University (Rome) since February 2018 and previously served as Head of the Department from 2021 to 2024. He held roles as Associate Professor and Assistant Professor at Aarhus University (Denmark) from 2013 to 2018, with prior postdoctoral research at the University of Padova and CREATES. His education includes a PhD from the University of Pavia and visiting research at Northwestern University’s Kellogg School of Management. His research focuses on time series econometrics, financial econometrics, and energy economics, with emphasis on volatility modeling, liquidity risk, and climate impacts. Notable contributions include work on liquidity coverage in financial markets, cointegration models, and the interplay between wind energy and CO2 emissions. His publications span top journals like the Journal of Financial Economics and Journal of Econometrics , exploring topics ranging from stochastic volatility to climate policy analysis. Ongoing projects include research on option price dynamics, energy market connectedness, and risk-neutral density fitting via the RNDfittool MATLAB application. Prof. Santucci de Magistris collaborates internationally with institutions like CREATES and has contributed to policy-relevant studies on energy transition and financial stability. His methodological innovations include Bayesian econometric techniques and tools for analyzing financial risks embedded in derivatives markets.

Nadine Itaniمشاهده پروفایل

مدرس

• Sustainability in Aviation
• Efficiency and Performance Management
• Air Transport Economics
• +۴ مورد دیگر

Dr. Nadine Itani serves as Programme Leader and Lecturer in Air Transport Management at the University of Surrey, based within the Hospitality and Tourism Management department. She maintains active affiliations with the Institute for Sustainability, Surrey Institute for People-Centred Artificial Intelligence (PAI), and Centre for Competitiveness of the Visitor Economy, driving cross-disciplinary initiatives in sustainable transport systems. Her academic foundation includes: PhD in Air Transport Management (2015) MPhil in Transport Systems (2011) Master of Business Administration (2008) Dr. Itani's research program centers on aviation sustainability, transport economics, and business strategy, with recent work addressing environmental fee structures, electric aircraft adoption barriers, and service quality optimization. Her publications demonstrate rigorous methodological approaches including behavioral modeling, mediation analysis, and Kano model applications, consistently targeting high-impact journals in transportation and sustainability fields. Industry engagement through UN ICAO projects across the Middle East and Africa informs her practical focus on policy implementation and capacity building. Analysis of her publication trajectory reveals intensifying emphasis on environmental economics since 2020, with 75% of recent articles (2023-2024) examining decarbonization mechanisms like SAF surcharges and electric propulsion. Concurrently, her work maintains strong attention to passenger behavior metrics, particularly business traveler expectations and repurchase drivers, reflecting aviation's dual challenge of ecological transition and service excellence. Professional recognition includes: Recognised as a leading woman in aviation (2025) She also holds ICAO certification in Training Development and maintains memberships in the Royal Aeronautical Society, Women in Aviation - Middle East, and The Ninety-Nines International Organization of Women Pilots. As co-Programme Leader for the MSc in Air Transport Management, Dr. Itani directs curriculum development while teaching core modules in Aviation Finance and Market Analysis. Her industry partnerships with UN ICAO have generated substantial project funding for aviation policy development across 12 Middle Eastern and African nations, focusing on security-volatile markets and competitive strategy implementation. Media contributions to France 24, Alarabiya Business, and Sky News Arabia position her as a leading public commentator on aviation recovery and turbulence trends. She actively contributes to Surrey's research ecosystem through leadership roles in sustainability and AI-focused institutes, developing frameworks for people-centered technological integration in transport systems while advancing the Visitor Economy Competitiveness Centre's industry engagement initiatives.

Terry Dillonمشاهده پروفایل

مدرس ارشد

• Atmospheric Chemistry
• Photochemistry
• Gas-Phase Kinetics
• +۳ مورد دیگر

Dr Terry Dillon is a Senior Lecturer in Physical Chemistry and Faraday College Director of Studies at the University of York's Department of Chemistry. His research focuses on gas-phase chemistry in indoor and outdoor atmospheres, utilizing advanced techniques such as laser spectroscopy, mass spectrometry, and low-cost sensors. He leads experimental work in the Wolfson Atmospheric Chemistry Laboratories (WACL) and laser facilities, investigating emissions, transformations, and fates of atmospheric species. Education: PhD in Physical Chemistry from the University of Leeds (1997–2001), supervised by Dwayne Heard and Mike Pilling; MChem from the University of Oxford (1993–1997). Prior roles include Research Scientist (2011–2013) and Research Fellow (2001–2010) at the Max Planck Institute for Chemistry, and Visiting Professor at Lille-1/CNRS (2012). Research Interests: Atmospheric radical lifetimes, indoor air pollution from cooking/cleaning, and degradation of 'green' solvents. Collaborations include projects with Rob McElroy (University of Lincoln), Andrew Rickard, and Pete Edwards. His work addresses environmental and health impacts of pollutants, with recent focus on indoor environments. Teaching: Leads courses on 'Kinetics', 'Lasers in Extreme Environments', and 'Processes at Solid Surfaces'. Chair of the Chemistry Department Teaching Committee. Supervised nine PhD students and numerous undergraduate/postgraduate researchers. Grants & Projects: Principal investigator on initiatives like 'Validation of Lagrangian Stochastic Methods for Indoor Air Quality' (STFC-funded) and 'Atmospheric Degradation of New Green Solvents'. Co-investigator on the £2.5M NERC-funded INGENIOUS project.

Anirban Mondalمشاهده پروفایل

دانشیار

• Bayesian Inference
• Markov Chain Monte Carlo Methods
• Spatial Statistics
• +۵ مورد دیگر

Anirban Mondal is an Associate Professor and Director of Graduate Studies at Case Western Reserve University's Department of Mathematics, Applied Mathematics and Statistics, specializing in Bayesian Inference, Markov Chain Monte Carlo Methods, and Uncertainty Quantification. Holding a Ph.D. in Statistics from Texas A&M University, his research spans spatial statistics, inverse problems, and data mining applications across biomedical, materials science, and public health domains. Education: Ph.D. in Statistics, Texas A&M University His recent publications (2022-2024) demonstrate interdisciplinary applications including heart disease prediction via optimized machine learning, additive manufacturing defect analysis, and pandemic transmission modeling. While primarily focused on Bayesian frameworks and computational statistics, his work extends to geomechanics, remote sensing, and environmental risk assessment. Current research explores advanced sampling algorithms, functional data emulation, and multiscale hierarchical modeling for complex systems. Key trends include uncertainty quantification in machine learning systems (2024), Bayesian calibration methods (2023), and pandemic modeling (2022). His work balances methodological innovation with real-world applications in medical diagnostics, materials science, and climate science. Contact: anirban.mondal@case.edu

James Tuckمشاهده پروفایل

استاد

• Computer Architecture
• Compiler Design
• Chip Multiprocessors
• +۳ مورد دیگر

James Tuck is a Professor and Senior Associate Department Head for Undergraduate Affairs in the Department of Electrical and Computer Engineering at NC State University. He holds a BE from Vanderbilt University, and MS and PhD from the University of Illinois at Urbana-Champaign. His research focuses on computer architecture, compiler design, and DNA-based data storage, with notable contributions to chip multiprocessors and speculative execution. He has been recognized with two IEEE Micro Top Picks Paper Awards and the William F. Lane Outstanding Teaching Award. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2007) MS in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2003) BE in Computer Engineering, Vanderbilt University (1999) Research Interests: Computer Architecture and Systems Compiler Design for Multiprocessors Hardware Support for Speculative Execution Advances in DNA Data Storage Non-Volatile Memory Systems Recent work emphasizes DNA storage scalability and security, including frameworks like FrameD and innovations in nanopore decoding. His articles span hardware optimization, persistent memory security, and biochemical storage solutions. Awards highlight both technical and pedagogical excellence. Advising and Grants: Leadership in Undergraduate Engineering Affairs NSF grants for DNA storage and memory systems Labs/Teams: Member of Undergraduate Affairs Team in NC State ECE Collaborations with Chemical and Biomolecular Engineering

Martin Reaneyمشاهده پروفایل

استاد

• Food Science
• Bioengineering
• Lipid Chemistry
• +۳ مورد دیگر

Martin Reaney is a Professor and Ministry of Agriculture Strategic Research Program (SRP) Chair in Lipid Quality and Utilization at the University of Saskatchewan's Department of Food and Bioproduct Sciences, within the College of Agriculture and Bioresources. His research focuses on lipid chemistry, sustainable agriculture, and food technology, particularly in biodiesel production, flaxseed bioactives, and novel food products. Key research interests include optimizing lipid quality through refining techniques (e.g., electrostatic field processing, enzymatic degumming), developing functional food ingredients (e.g., aquafaba-based emulsifiers, flaxseed-derived peptides), and enhancing biofuel production. His work bridges agricultural innovation with industrial applications, emphasizing sustainability and nutritional value. Key Projects: Biodiesel optimization, flaxseed lignan extraction, cyanogenic glycoside removal in flaxseed through fermentation, and electrostatic refining of crude oils. Lab/Affiliations: SRP Chair in Lipid Quality & Utilization, affiliated with the University of Saskatchewan's Ministry of Agriculture initiatives. Contact: martin.reaney@usask.ca | 6E02 Agriculture Building. Publications span lipid processing, food safety, and nutraceutical development, with a focus on interdisciplinary approaches to address global food and energy challenges.

Yu (Yvette) Zhangمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Food Economics
• +۶ مورد دیگر

Yu (Yvette) Zhang is a Professor in the Department of Agricultural Economics at Texas A&M University, affiliated with the College of Agriculture and Life Sciences. She holds dual Ph.D.s in Economics (Texas A&M University, 2010) and Biology (Duke University, 2004), and a B.S. in Life Sciences from Peking University (1998). Her research focuses on behavioral and experimental economics, food economics, applied econometrics, and environmental economics. She has been recognized with awards such as the Uma Lele Mentor Award (2023) and contributed to editorial roles at major journals like Applied Economic Perspectives and Policy . Her work addresses critical issues like consumer behavior in food markets, pandemic impacts on global food systems, and policy interventions for sustainable agriculture. Recent studies include analyzing incentive programs to curb brain drain and evaluating the effects of climate change on crop yields. She has advised numerous graduate students and collaborates across disciplines to address complex economic challenges. Education : Ph.D. in Economics, Texas A&M University, 2010 Ph.D. in Biology, Duke University, 2004 B.S. in Life Sciences, Peking University, 1998 Her research intersects agriculture, environment, and policy, with a focus on empirical methods and real-world applications. Recent publications highlight interdisciplinary approaches to food security, pest management, and consumer preferences for sustainable products.

Steven Lehrerمشاهده پروفایل

استاد

• Economics of Education
• Health Economics
• Causal Inference
• +۴ مورد دیگر

Steven Lehrer is a Professor of Economics at Queen's University, Canada, affiliated with the Faculty of Arts and Science. He holds dual appointments in the Department of Economics and previously taught at NYU-Shanghai and NYU. His research focuses on empirical microeconomics, including the economics of education, health economics, causal inference, and experimental economics. He has held roles such as Research Associate at the National Bureau of Economic Research and Chief Economist at JANYS Analytics. Lehrer's education includes a Ph.D. from the University of Pittsburgh (2001) and a B.A. from McGill University (1996). He has received prestigious awards like the 2013 John Vanderkamp Prize and the 2009 Victor R. Fuchs Award in Health Economics. His research interests span policy evaluation, genetic influences on economic outcomes, and data science applications. Key contributions include studies on universal childcare effects, social media data in forecasting, and the role of molecular genetic data in public policy. Lehrer has supervised over 20 graduate students and secured major grants, including SSHRC Insight Research Grants. His work appears in top journals like Nature Genetics , Review of Economic Studies , and Journal of Labor Economics . Grants: SSHRC Insight (2024-2027, $94k), Shanghai Thousand Talent Grant (750k RMB). Teaching: Econometrics, Health Economics, Causal Inference. Service: Editor of Canadian Journal of Economics, Associate Editor roles at Empirical Economics and Canadian Public Policy .

Wolfgang Blochingerمشاهده پروفایل

استاد

• Cloud Computing
• High Performance Computing
• IT Security
• +۳ مورد دیگر

Prof. Wolfgang Blochinger is a Professor in the Department of Computer Science at Reutlingen University, specializing in Services Computing and IT Security. He leads teaching programs in Wirtschaftsinformatik (Business Informatics) at both Bachelor and Master levels, focusing on foundational topics such as Programming Basics, Operating Systems, IT Security, Cloud Computing, and Big Data Technologies. His research emphasizes Cloud Computing and High Performance Computing, particularly in elasticity control, parallel processing, and cloud resource optimization. His research projects include developing elastic parallel systems for HPC applications, cloud migration strategies, and automated cloud service generation. Notable contributions involve frameworks like TASKWORK for elastic task parallelism and the Elasticity Description Language for cloud applications. He has published extensively on serverless computing, cost-efficient cloud resource utilization, and container-based isolation techniques. Prof. Blochinger collaborates with industry partners through the university's labs, including the AI-Reallabor AIDA and Cloud Lab. His work bridges academia and industry, addressing real-world challenges in distributed systems and cloud infrastructure. Current research trends focus on self-tuning cloud services and adaptive parallel algorithms for scalable computing environments.

Ashish Venkatمشاهده پروفایل

دانشیار

• Computer Architecture
• Compilers
• Computer Security
• +۱۲ مورد دیگر

Ashish Venkat is an Associate Professor in the Department of Computer Science at the University of Virginia, part of the School of Engineering and Applied Science. He holds a Ph.D. from UC San Diego and has established himself as a leading researcher in computer architecture, compilers, and computer security. Research Interests: His research focuses on cross-disciplinary hardware and software techniques to build secure, high-performance computing systems. He investigates robust exploit mitigations that maintain energy efficiency and programmability, with a particular emphasis on speculative execution, memory safety, hardware security, and privacy-preserving computing. He also explores the application of machine learning to detect security threats and model execution behavior. Publication Trends: His recent publications (2020–2025) demonstrate a strong focus on hardware-based security, particularly microarchitectural vulnerabilities (e.g., micro-op cache attacks), memory safety via microcode capabilities, and secure accelerators for bioinformatics. There is a consistent trend of publishing in top-tier venues like ISCA, MICRO, IEEE S&P, and USENIX Security, often featuring novel hardware/software co-design solutions. Scientific Awards: NSF CAREER Award (2023) NSF CRII Award (2018) IEEE Micro Top Pick (2019) IEEE Design & Test Top Pick (2020, 2021) HPCA Best Paper Runner-Up (2019) DATE Best Paper Nominee (2023) UVA Research Achievement Award (2023) ISCA Prolific Author of the Decade (2013–2022) Advising and Grants: He actively mentors graduate and undergraduate students, many of whom have pursued advanced degrees or joined leading tech companies. He has secured significant funding as PI or co-PI from NSF, DARPA, SRC, and Intel, including a $4.9M DARPA HERCULES grant and an NSF CAREER award. His projects focus on holistic security solutions, speculative optimization, and privacy-preserving machine learning frameworks. Labs and Teams: He leads a research group focused on secure and efficient computing systems, collaborating with researchers at institutions like UC San Diego, UC Riverside, and UC Irvine, as well as industry partners including Intel and IBM.

• Financial Econometrics
• Statistics
• Empirical Asset Pricing
• +۵ مورد دیگر

Dacheng Xiu is the Joseph Sondheimer Professor of Econometrics and Statistics at the Booth School of Business , University of Chicago, and an Affiliated Faculty in the Department of Statistics. He serves as a Research Associate at the National Bureau of Economic Research and holds editorial roles at journals like Journal of Business & Economic Statistics and Journal of Financial Econometrics . PhD and MA in Applied Mathematics from Princeton University BS in Mathematics from University of Science and Technology of China His research focuses on statistical methodologies for financial data , including risk measurement , portfolio management , and empirical asset pricing using high-frequency data and machine learning . Recent work analyzes text data and large language models for economic forecasting. Editorial leadership includes Co-Editor and Associate Editor roles at top journals like Journal of Finance and Annals of Statistics . His lab ( Risk Lab ) specializes in systemic risk assessment through transaction-level data analysis. 2024 Dimensional Fund Advisors Prize 2023 GSU-RFS FinTech Conference Best Paper Award 2022 Society for Financial Econometrics Fellow 2018 Swiss Finance Institute Outstanding Paper Award

Waverly Deutschمشاهده پروفایل

استاد مدعو

• Entrepreneurship
• Venture Capital
• Startup Management
• +۵ مورد دیگر

Waverly Deutsch is an Adjunct Professor of Entrepreneurship at the University of Chicago's Booth School of Business. She specializes in entrepreneurial execution through courses like Global New Venture Challenge and Building the New Venture , the latter of which earned her the USASBE Innovative Teaching Pedagogy Award in 2004. As Academic Director of University-wide Entrepreneurship Content, she collaborates with the Polsky Center for Entrepreneurship and Innovation to develop curricula and extracurricular programs for students, faculty, and staff. Bachelor's in Computer Science (University of Pittsburgh, 1985) Master's (1989) and PhD in Theater History (Tufts University, 1992) Her research centers on operational challenges faced by entrepreneurs during business growth, particularly in marketing, sales, operations, and team-building. She contributes regularly to the Chicago Booth Review , analyzing topics like cryptocurrency trends, venture capital biases, and resource allocation in startups. Her work integrates behavioral economics, financial innovation, and business model validation. Deutsch has received multiple accolades, including the Phoenix Faculty Award (2015) for her contributions to the Booth student community. She co-founded the Elements of Entrepreneurship summer seminar for Chicago Public School students and has served as a faculty coach for the Polsky Center Summer Accelerator Program since 2012. Advisor to startups: Stylisted, Ascent Technologies, Markit Medical, AMOpportunities, Spott, TAINA, Mindful Urgent Care Advisor to OCA Ventures (Chicago VC firm) Board member: SmartBet Charities, InContext Solutions (2009-2011)